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AI-guided design and property prediction for zeolites and nanoporous materials /

AI-Guided Design and Property Prediction for Zeolites and Nanoporous Materials A cohesive and insightful compilation of resources explaining the latest discoveries and methods in the field of nanoporous materials In Artificial Intelligence for Zeolites and Nanoporous Materials: Design, Synthesis and...

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Bibliographic Details
Other Authors: Sastre, German (Editor), Daeyaert, Frederik F. (Editor)
Format: eBook
Language:English
Published: Hoboken, NJ : John Wiley and Sons, Incorporated, 2023.
Subjects:
Zeolites > Analysis.
Nanostructured materials > Analysis.
Molecules > Models.
Artificial intelligence.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • The confluence of organo-cations, inorganic species, and molecular modeling on the discovery of new zeolite structures and compositions / Christopher M. Lew, Dan Xie, Joel E. Schmidt, Saleh Elomari, Tracy M. Davis, and Stacey I. Zones
  • Efficient data utilization in training machine learning models for nanoporous materials screening / Jiham Kim.